Article ID: | iaor2003726 |
Country: | Germany |
Volume: | 54 |
Issue: | 3 |
Start Page Number: | 445 |
End Page Number: | 454 |
Publication Date: | Jan 2001 |
Journal: | Mathematical Methods of Operations Research (Heidelberg) |
Authors: | Wakuta K. |
Keywords: | markov processes |
We study a multi-objective shortest path problem. We formulate a multi-objective Markov decision process model for the problem and solve it by the policy improvement procedure. We first show by counter-examples the differences between the multi-objective shortest path problem and the single-objective one. We next introduce ‘locally efficient policies’ and present an algorithm for finding all efficient paths from all nodes to the destination. Moreover, as an application, we consider a shortest path problem with a constraint. Last, the algorithm is illustrated by a numerical example.